Masksembles for uncertainty estimation N Durasov, T Bagautdinov, P Baque, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 78 | 2021 |
Leveraging self-supervision for cross-domain crowd counting W Liu, N Durasov, P Fua Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
Debosh: Deep bayesian shape optimization N Durasov, A Lukoyanov, J Donier, P Fua arXiv preprint arXiv:2109.13337, 2021 | 12 | 2021 |
Double refinement network for efficient indoor monocular depth estimation N Durasov, M Romanov, V Bubnova, P Bogomolov, A Konushin 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 12* | 2018 |
Learning node embeddings for influence set completion S Ivanov, N Durasov, E Burnaev 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1034-1037, 2018 | 11 | 2018 |
How to boost face recognition with stylegan? A Sevastopolskiy, Y Malkov, N Durasov, L Verdoliva, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Partal: Efficient partial active learning in multi-task visual settings N Durasov, N Dorndorf, P Fua arXiv preprint arXiv:2211.11546 2, 2022 | 4 | 2022 |
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N Durasov, N Dorndorf, H Le, P Fua Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
Enabling Uncertainty Estimation in Iterative Neural Networks N Durasov, D Oner, J Donier, H Le, P Fua International Conference on Machine Learning (ICML), 2024 | 1 | 2024 |
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models S Fares, K Ziu, T Aremu, N Durasov, M Takáč, P Fua, K Nandakumar, ... arXiv preprint arXiv:2406.09250, 2024 | | 2024 |